
A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models
Donnet, Sophie; Samson, Adeline (2013), A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models, Advanced Drug Delivery Reviews, 65, 7, p. 929-939. http://dx.doi.org/10.1016/j.addr.2013.03.005
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Article accepté pour publication ou publiéDate
2013Journal name
Advanced Drug Delivery ReviewsVolume
65Number
7Publisher
Elsevier
Pages
929-939
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Show full item recordAbstract (EN)
This paper is a survey of existing estimation methods for pharmacokinetic/pharmacodynamic (PK/PD) models based on stochastic differential equations (SDEs). Most parametric estimation methods proposed for SDEs require high frequency data and are often poorly suited for PK/PD data which are usually sparse. Moreover, PK/PD experiments generally include not a single individual but a group of subjects, leading to a population estimation approach. This review concentrates on estimation methods which have been applied to PK/PD data, for SDEs observed with and without measurement noise, with a standard or a population approach. Besides, the adopted methodologies highly differ depending on the existence or not of an explicit transition density of the SDE solution.Subjects / Keywords
Pharmacodynamic; Stochastic differential equations; Pharmacokinetic; Kalman Filter; Bayesian estimation; EM algorithm; population approach; maximum likelihood estimation; Gauss quadrature; Hermite expansionRelated items
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Samson, Adeline; Donnet, Sophie (2010) Document de travail / Working paper
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Donnet, Sophie; Foulley, Jean-Louis; Samson, Adeline (2010) Communication / Conférence
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Samson, Adeline; Donnet, Sophie (2007) Article accepté pour publication ou publié
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Donnet, Sophie; Foulley, Jean-Louis; Samson, Adeline (2009) Communication / Conférence